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Location: Remote; United States Workplace: Remote At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 ABOUT CLICKUP   At ClickUp, we're not just building software. We're architecting the future of work! In a world overwhelmed by work sprawl, we saw a better way. That's why we created the first truly converged AI workspace, unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI, empowering millions of teams to break free from silos, reclaim their time, and unlock new levels of productivity. At ClickUp, you'll have the opportunity to learn, use, and pioneer AI in ways that shape not only our product, but the future of work itself. Join us and be part of a bold, innovative team that's redefining what's possible!   ABOUT THE ROLE   We are hiring the next generation of product managers. AI has collapsed the work that used to sit between an idea and a working version of it, and for the first time, PMs can be true builders. The PMs who win in this era do not manage the work. They build the product, every day, with their own hands.   A Principal Product Manager shapes high level strategy and product direction at the company level. You make the calls on the hardest product questions we face. Where the converged workspace is going, what AI for work actually looks like in three years, which bets matter. You build to show your thinking, not just describe it, and the argument is stronger when you have already put the idea on screen. You pull together data, customer escalations, support trends, and usage patterns and bring clarity on where we are winning and where to push next. The ways you find to move faster become how PMs across the company work. The stronger your craft, the more your strategy lands.   KEY RESPONSIBILITIES   - Shape ClickUp's product direction at the company level. Own the hardest, most consequential product questions we face and drive them to resolution. - Define where the converged workspace is going and what AI for work looks like over a multi-year horizon. Hold that picture and make it legible to everyone else. - Build to prove the point. Prototype the future you are arguing for so the strategy is concrete, not theoretical. - Synthesize data, customer escalations, usage trends, and market signals into a coherent picture of where we are winning and where we need to move. - Set the standard for how PMs across the function work. The patterns you invent for compressing your loop become how the whole PM team operates. - Advise and inform executive leadership on product strategy, major bets, and where the company should and should not invest. - Represent ClickUp externally on product vision when relevant, including with key customers, analysts, and the broader product community. - Identify the gaps in our product thinking and build the frameworks that close them.   QUALIFICATIONS   - 8-10+ years in product management, with a clear record of operating at company-shaping scope in a high-growth B2B SaaS environment. - Deep experience owning the most ambiguous and consequential product decisions, the ones with no obvious answer and real stakes. - Exceptional ability to synthesize competing inputs, customer signals, business constraints, and technical realities into a clear direction. - Demonstrated ability to build and evangelize a product vision that earns trust across engineering, design, and executive leadership. - History of raising the craft of the PMs around you, not just delivering your own output. - Fluent in data. You define the metrics that matter at the company level and you know when the data is incomplete or misleading. - Deep command of AI tooling. You are not experimenting with it, you are building with it and setting the example for the function. - Outstanding written and verbal communicator. You can make a hard argument simply and land it with any audience.   AI PROFICIENCY   - Generate artifacts that accelerate alignment. Leverage AI to draft PRDs, map user flows, validate product launch readiness, synthesize research and customer feedback, produce competitive analyses, and write release notes. - Prototype and iterate with AI coding tools. Build functional prototypes independently of design and engineering using tools like Cursor or Claude Code. - QA your own work. Use browser automation tools to test flows, verify edge cases, and confirm what shipped matches what was specced. - Stay current and apply it. Familiarity with tools like Claude Code, Cursor, Figma AI, and MCP integrations is expected. Actively experiment and fold new capabilities into your workflow. Equal Opportunity Employer ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. Privacy Notice ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details. Visa Sponsorship Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions. Fraud Alert ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com. AI Processing Notice ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.

Location: Europe; Brussels; Munich; London; Edinburgh; Paris; Berlin; United Kingdom; France; Frankfurt; Germany Workplace: Hybrid WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! ABOUT NORTH: North https://cohere.com/north is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications. WHY THIS ROLE? This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients’ engineering teams, you’ll be at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications. We’re looking for Software Engineers with Applied AI experience who can own the design, build, and deployment of agentic workflows powered by Large Language Models (LLMs), from early prototypes to production-grade AI agents, to deliver concrete business value in enterprise workflows. You’ll work closely with customers on real-world business problems, often building first-of-their-kind agent workflows that integrate LLMs with tools, APIs, and data sources. While our pace is startup-fast, the bar is enterprise-high: agents must be reliable, observable, safe, and auditable from day one. In this role, you will: - Work closely with our enterprise customers to translate high-value, ambiguous business problems into well-framed agentic workflows with clear success criteria and evaluation methodologies - Lead the design, build, and delivery of LLM-powered agents that reason, plan, and act across tools, APIs, and sensitive enterprise data sources, with enterprise-grade reliability and performance - Build and ship features for North, our AI workspace platform, working across the full product lifecycle from conceptualisation through production - Take ownership of scoping and shaping use cases end-to-end, flexing into whatever technical area the problem demands (including frontend) to drive the most effective solution - Contribute to shared frameworks and patterns that enable consistent, high-quality delivery across customers and teams - Drive clarity in ambiguous situations, build alignment, and raise engineering quality across the organization - Travel up to 20–40% to work on-site with customers and partners You may be a good fit if: - You have hands-on experience building and deploying production-grade software in Python; you write clean, testable, observable, scalable code - You've built and deployed highly performant RAG and agentic applications, including agents that plan and execute multi-step tasks using patterns like ReAct or Plan-and-Execute - You're deeply familiar with the LLM stack: frontier models, vector databases, and orchestration frameworks - You have a proven ability to build robust evaluation frameworks, moving well beyond trial and error, to measure agent accuracy, safety, and latency - You’re experienced working directly with customers and can lead technical discussions with enterprise stakeholders, translating ambiguous business needs into concrete technical specs - You have experience owning the full scope of a use case end-to-end - You thrive in fast-paced and ambiguous environments and can execute well even when priorities are shifting It's a bonus if you have: - Experience setting architectural standards for AI and agentic systems across distributed teams - Experience flexing into unfamiliar technical areas, such as frontend, when the problem calls for it - Exposure to regulated or sensitive industry environments (finance, healthcare, telecoms) - Experience with enterprise security, compliance, or auditability requirements for AI systems FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: Otsego, MN Senior Project Manager – Foundations (Power Delivery & Deep Civil Infrastructure) Location: Various (Project‑Based) Employment Type: Full‑Time Travel: Required (Long‑Term, Onsite Assignments) Lead the Foundation Work That Supports the Power Grid Strengthening our nation’s power grid isn’t easy, but reliable electrical service is essential to everyday life. Every time someone charges an iPhone, cranks up the A/C, or turns on a computer, we are busy behind the scenes making it happen. Michels Power, Inc. is one of the largest, most sought-after power delivery contractors in the United States. We execute the full spectrum of electrical infrastructure projects—including transmission lines, substation construction, distribution modernization, and renewable energy development . We also restore power after natural disasters strike. Our foundation and civil teams play a critical role in delivering the structural backbone of transmission and substation infrastructure , ensuring long-term reliability, durability, and performance. Our work improves lives. Find out how a career at Michels Power, Inc. can change yours. Position Overview As a Senior Project Manager – Foundations , you will lead the execution of large-scale and complex foundation and civil construction projects supporting transmission lines, substations, and power infrastructure systems. You may oversee multiple large projects or major phases of complex megaprojects , with responsibility for full project lifecycle performance , including bid strategy, execution, financial performance, team leadership, and client satisfaction . This is a senior leadership role requiring deep expertise in foundation construction methods, project controls, and field execution , along with the ability to lead teams and make critical decisions in dynamic, high-impact environments. Key Responsibilities Lead projects through pursuit, estimating, execution, and closeout phases Oversee large, complex foundation and civil scopes , including: Drilled piers, caissons, and deep foundations Driven piles and micropiles Structural concrete and spread footings Direct embed structure foundations and anchors Site development, excavation, and access construction Ensure projects are delivered safely, on schedule, within budget, and to quality standards Own financial performance , including forecasting, cost controls, productivity, and risk management Lead and mentor project teams, field leadership, and cross-functional stakeholders Manage and maintain key client and partner relationships Coordinate across engineering, estimating, procurement, and field operations Identify and mitigate constructability challenges, geotechnical risks, and logistical constraints Drive continuous improvement through lessons learned and operational best practices Champion and reinforce Michels’ safety-first culture across all project phases Why Michels Power, Inc.? Ranked No. 1 Electrical Transmission & Distribution Contractor by Engineering News‑Record National leader in substation, transmission, and power infrastructure construction Family owned and operated with long-term stability Strategic growth driven by a commitment to quality and performance Average investment of $5,000 per employee annually in training and career development High-impact work supporting critical infrastructure nationwide Strong safety culture—everyone is responsible, regardless of title Part of the Michels family of companies—one of North America’s largest and most diversified infrastructure contractors Comprehensive Benefits Package Health, Dental, and Life Insurance Flexible Spending Accounts (FSA) and Health Savings Account (HSA) Short- and Long-Term Disability Insurance 401(k) Retirement Plan Legal Assistance and Identity Theft Protection Plans (Benefits may vary based on position and location) Why you? You like to surround yourself with dedicated, value-driven people. You thrive on new challenges and evolving technologies. You think “we’ve always done it this way” is not a good enough reason. You want to know your efforts are recognized and appreciated. You like making your own decisions—with the right support. You want to be part of a team that improves lives through essential infrastructure. What it takes? Bachelor’s degree in Project Management, Construction Management, Engineering, or related field , or equivalent experience 7–10+ years of progressive project management experience , preferably within civil, foundation, transmission, or substation construction Direct experience with deep foundation systems , including: Drilled piers and caissons Driven piles Micropiles and specialty foundations Proven ability to manage large, complex construction projects and multiple project teams simultaneously Experience with project scheduling and management software (Primavera, HCSS, or similar) Proficiency in Microsoft Office Suite Strong leadership, financial management, and communication skills Valid driver’s license with an acceptable driving record Willingness to travel and support long-term, onsite project assignments Join a company that powers progress. Be a part of Michels Power, Inc.—where you don’t just build projects, you build a career. This information reflects the anticipated base salary for this position based on current market data. Minimums and maximums may vary based on location. Actual pay will be adjusted based on individual’s skills, experiences, education, and other job-related factors permitted by law. Expected Salary Range $150,000 — $210,000 USD AA/EOE/M/W/Vet/Disability https://www.michels.us/website-user-privacy-policy/

Location: New York, NY (HQ) Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE Ramp is building something ambitious, and we believe our most important advantage is our people. This role sits at the foundation of that belief. You'll help shape how Ramp identifies, evaluates, and hires world-class engineering talent, with a particular focus on the engineers at the center of what we're building next. This is a craft role. You'll own pipelines end-to-end, partner directly with our Engineering leadership, and be accountable for the quality of the people we bring through the door. We're looking for a Technical Recruiter who treats hiring as a discipline. Someone who cares as much about candidate experience and calibration as they do about closing. You won't just be working off a req list. We're looking for someone who can take ambiguous or high-level direction from engineering leadership and turn it into a sharp, targeted search, knowing exactly who they want before the role even opens. You'll be expected to have strong opinions on talent, defend them with evidence, and push back on stakeholders when the bar is at risk. Recruiting at Ramp is owned end-to-end, not handed off. This role requires someone who stays close to the candidate, close to the hiring manager, and close to the work, so context never gets lost between hand-offs. What You’ll Do - Partner closely with our Engineering leadership and hiring managers to deeply understand the requirements of each role and how it fits into the organization - Manage full-cycle recruiting for multiple, complex searches across our Engineering organization, owning every stage from first touch to signed offer - Build deeply targeted sourcing strategies. Know the companies, the teams, and the individual engineers worth pursuing before opening a search - Partner with our sourcing team to iterate on creative strategies for talent pipelines and competitor mapping - Run candidate process with urgency and care. Same-day follow-up, next steps booked before you hang up, no candidate left chasing us - Manage pipeline activity, maintain data integrity, and proactively share data-centric updates with internal stakeholders. Spot funnel issues early and bring evidence to calibration conversations, not just gut - Drive offer processes for candidates, including extending offers, negotiations, closing candidates, and generating offer letters - Act as a strategic advisor, not a req-filler. Anticipate hiring needs, shape strategy alongside engineering stakeholders, and translate abstract asks into concrete target lists, comp frameworks, and close plans - Lead initiatives that raise the bar on how technical recruiting operates at Ramp, including interview loops, interviewer training, scorecards, and other cross-functional efforts that increase hiring quality and speed - Build excellent relationships across the recruiting team and your engineering client groups What We’re Looking For - 5+ years of full-cycle technical recruiting/sourcing experience in a similar role at a high-growth technology company or startup - Demonstrated track record hiring for deeply technical engineering roles. You can hold a credible conversation with a hiring manager about the work, not just the title - You build and use AI across every stage of the recruiting process, from how you find candidates to how you screen, calibrate, and close them. You're a sourcer at heart, don't wait for inbound, and treat your tooling as part of the craft - Excellent written and verbal storytelling communication skills - Ability to influence at various levels in an organization, anchoring on data-driven decision-making - Operationally strong, detail-oriented, and comfortable navigating ambiguity in a fast-moving environment - Genuine care for the candidate experience. You believe how someone is treated through the process is as much a reflection of Ramp as the offer itself BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: New York City, NY; San Francisco, CA; Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As part of our growing Data Science and Analytics team, you will play an instrumental role in our company’s mission of building safe and beneficial artificial intelligence by driving data-informed decision making across our organization. You’ve worked in cultures of excellence in the past, and are eager to apply that experience to help shape the cultural norms and best practices of a growing data science team as Anthropic continues to scale. In this unique company, technology, and moment in history, your work will be critical to informing our strategy as we deploy safe, frontier AI at scale to the world. Responsibilities: Deep dive into product and user data to derive actionable insights and size opportunities to improve products, strategy and operations, influencing roadmaps through your insights and recommendations Develop hypotheses, apply rigorous causal inference methods – controlled experiments, synthetic controls –  and analyze the results in order make actionable recommendations Investigate anomalies, conduct root cause analyses, and provide data-driven insights to guide priorities and inform decisions Define core metrics, build measurement frameworks, and maintain core reporting to evaluate success Build statistical models, optimization frameworks, and simulations to automate decision-making and operational processes Present complex technical analyses and recommendations to both technical and non-technical stakeholders Establish foundational data practices and help scale our analytics infrastructure to support rapid iteration and decision-making as our products grow You may be a good fit if you have: 7+ years of experience in data science or analytics roles Deep expertise with Python, SQL, and data visualization tools Expertise with experimental design, causal inference, statistical modeling, and A/B testing frameworks, particularly in high-scale technical environments Highly effective written communication and presentation skills A track record of translating complex data into clear, actionable insights for both technical and business stakeholders A bias for action and ability to thrive in ambiguous, fast-moving environments where you must create clarity and drive forward progress A passion for the company’s mission of building helpful, honest, and harmless AI Some experience with AI/ML products, large language models, or developer tools in the AI/ML ecosystem The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $285,000 — $380,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote Reports to: Regional Head Location: Remote Level: Mid to Senior (4–7 years' relevant experience) Working with: Regional BDM/PAM team, Brand & Creative, Performance, Compliance, Product Industry: Multi-asset crypto and CFD trading The role As Regional Marketing Manager for IPBS, you own the marketing roadmap for one of the fastest-growing trading audiences in the world. You will translate global commercial goals into culturally fluent campaigns, drive qualified acquisition at a controlled CPA, and increase the LTV of active traders across the region. You will work hand-in-hand with our regional BDM/PAM team to amplify partner activity, and act as PrimeXBT's brand guardian on the ground. This is a builder's role. You should be equally comfortable writing a brief for a creator campaign, negotiating booth space at a Karachi expo, optimising a paid social funnel for Tier-2 IPBS cities, and pulling AI tooling into your daily workflow to multiply your output. Key responsibilities Strategic planning & localisation Own the annual IPBS marketing roadmap, aligned to global KPIs for acquisition, FTD and retention. Run deep-dive market intelligence on local competitors (Delta Exchange, CoinDCX, Mudrex, Octa, Exness, OctaFX and equivalents), pricing models and trader behaviour to surface untapped segments. Localise creative, messaging, landing pages and promotional offers so they land in Hindi, English, Urdu, Bengali and Sinhala/Tamil contextsnot just translated, but rewritten for the market. Go-to-market strategy Design and lead 360 regional campaigns spanning paid digital, organic, creator/KOL, PR, offline events and partner enablement. Build quarterly GTM plans with clear hypotheses, channel mix, budget allocation and success metrics. Partner with Product on regionally-relevant features, deposit methods and bonus mechanics. Performance & growth marketing Lead regional acquisition: act as a link with our Paid Media team in planning and rollout of PPC, Paid Social (Meta, X, YouTube), Programmatic and ASO campaigns specific to IPBS, with tight control over CPA and CPL. Funnel optimisation: analyse the journey from first touch → registration → KYC → FTD → second deposit, and ship regional fixes (creative, landing page, payment UX, comms cadence) to reduce drop-off. Retention & LTV: design lifecycle campaigns, reactivation flows and bonus/promotion mechanics that keep active traders trading. Local partnerships: build co-marketing toolkits and campaign-in-a-box assets that the BDM/PAM team can deploy with IBs, affiliates and KOLs. Agency & stakeholder management Manage external media agencies, PR firms, creative shops and freelance localisers across the region. Work cross-functionally with Compliance, Legal, Product and Sales to ship campaigns that are both impactful and legally sound non-negotiable in this region. Brief, review and sign off all regional creative before it goes live. Brand & offline presence Events: plan and execute regional participation in major expos (Forex Expo Dubai, iFX EXPO Asia, Money Expo India, Traders Fair) and host VIP seminars and partner dinners for HNW clients and top affiliates. Media buying: manage relationships with regional financial portals, business news outlets and trading-focused YouTubers/Telegram operators. PR & communications: act as brand guardian, ensuring all PR activity respects local advertising rules around crypto and CFDs. AI-augmented operating model We expect every member of the marketing team to use AI tools (Claude, ChatGPT, Midjourney, ElevenLabs, HeyGen and equivalents) as a force-multiplier for research, copy variants, creative iteration, competitor teardowns, ad concept testing, localised content production and reporting. Candidates who can demonstrate concrete examples of AI in their workflow will stand out. What you'll bring Must have 4–7 years in performance/brand marketing, with at least 2 years owning a region or country P&L. Deep familiarity with at least two IPBS marketsIndia is non-negotiable; Pakistan, Bangladesh or Sri Lanka exposure strongly preferred. Track record running paid acquisition at scale across Meta, Google, programmatic and creator/KOL channels, with clear CPA/FTD numbers you can talk through. Hands-on campaign craft: you can write a brief, review creative, read a media plan and challenge an agency without hiding behind one. Working knowledge of crypto, forex, CFDs or another regulated financial vertical. Fluent English plus at least one of: Hindi, Urdu, Bengali, Tamil or Sinhala. Demonstrable AI-in-workflow examplesyou don't just talk about it, you ship with it. Nice to have Existing relationships with IPBS trading KOLs, financial media or expo organisers. Experience working alongside an affiliate/IB programme, not just B2C performance. SEO, lifecycle/CRM marketing, or community-building (Telegram, Discord, WhatsApp) chops. Experience navigating local advertising restrictions on crypto or leveraged products. How we measure success Regional FTD volume and FTD CAC against quarterly targets. Funnel conversion improvements at registration → KYC → FTD stages. LTV uplift on active traders acquired through your campaigns. Partner-driven volume amplification through co-marketing assets. Brand health and share-of-voice in priority IPBS markets.

Location: London, UK About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Infrastructure organization is foundational to our mission of developing AI systems that are reliable, interpretable, and steerable. The systems we build determine how quickly we can train new models, how reliably we can run safety experiments, and how effectively we can scale Claude to millions of users — demonstrating that safe, reliable infrastructure and frontier capabilities can go hand in hand. Cluster Infra owns the full lifecycle of compute clusters at Anthropic. We build agent-driven automation for cluster provisioning and lifecycle management across all major cloud providers and our own datacenters. Our systems stand up clusters that are interconnected with high bandwidth, secure-by-default, and able to automatically drain and recover in response to failure. As a Staff engineer on this team, you'll set the technical direction for how Anthropic brings compute online - at a moment when the scale of that compute is growing faster than at almost any company in the world. Key responsibilities Own the technical strategy and roadmap for agent-driven cluster lifecycle management - provisioning, updates and decommissioning Partner across teams to ensure new compute capacity is ingested on time Align with partner teams on physical build-out and leverage cloud solutions to deliver high-bandwidth inter-cluster connectivity Collaborate with security owners to ensure clusters are provisioned secure-by-default Define and drive strategy on cluster scalability, homogeneity and fault tolerance Work closely with cloud providers and internal research, inference and product teams to shape long-term compute, data, and infrastructure strategy Establish and evolve operational-excellence practices: incident response, postmortem culture and on-call health Support the growth of engineers around you through technical mentorship and coaching Minimum qualifications Deep expertise in distributed systems, reliability, and cloud platforms (e.g., Kubernetes, IaC, AWS/GCP/Azure) Strong proficiency in at least one systems language (e.g., Rust, Go, or Python), IaC proficiency with Terraform. Track record of leading complex, multi-quarter technical initiatives spanning multiple teams or systems Ability to build alignment across senior stakeholders and communicate effectively at all levels Preferred qualifications 10+ years of software engineering experience, including time as a technical lead setting direction for a team Experience operating large-scale compute infrastructure at hyperscale (100+ clusters, 10K+ nodes) Depth in one or more of: Kubernetes internals, cluster provisioning and management systems, cluster orchestration systems (Mesos, Borg-like) Experience with cloud networking: VPC design and peering, Shared VPC/Transit Gateway, Cloud Interconnect/Direct Connect, Cloud NAT, cross-cloud private connectivity, BGP and route control, edge load balancing and DDoS mitigation (Cloud Armor / AWS Shield) Experience with cluster and host networking: CNI (Cilium), eBPF, NetworkPolicy, multi-NIC, sFlow, service mesh (Istio/Envoy/Linkerd, mTLS) Experience with cluster security: pod security standards and admission control, RBAC and least-privilege IAM, node and container hardening, supply-chain/image provenance Deep experience with infrastructure-as-code (Terraform, Atlantis), workflow orchestration (Temporal, Argo Workflows) Skill in quickly understanding systems design tradeoffs and keeping track of rapidly evolving software systems The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £325,000 — £485,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We're looking for a Manager, Commercial Counsel, GTM to help lead our legal team at the forefront of shaping how cutting-edge AI technology reaches users, researchers, and enterprises worldwide. You'll work alongside experienced colleagues who operate as true strategic partners—moving fast, thinking creatively, and working collaboratively to support deals that matter. In this role, you'll support our enterprise technology and startups Go-to-Market teams, handling enterprise agreements and customer negotiations, as well as team growth and scaling initiatives. This is an excellent opportunity for a seasoned attorney to help lead and grow the commercial legal team while contributing directly to responsible AI development. Responsibilities Draft, review, and negotiate commercial agreements, with a primary focus on GTM/Sales agreements with enterprise technology customers and startups. Partner closely with Sales and Go-to-Market leadership and teams to support deal velocity and provide practical legal guidance Help build and maintain our commercial legal infrastructure, including contract templates, playbooks, and process improvements Manage a team to support enterprise technology and startups segments Identify and escalate legal risks appropriately while supporting business momentum Stay current on legal developments affecting AI technologies Minimum qualifications Hold a law degree (JD, LLB, or equivalent) and meet the local licensing requirements to work as in-house counsel where you'll be based Experience drafting and negotiating commercial contracts, SaaS agreements, or technology transactions Demonstrated people management experience, including hiring, developing, and leading attorneys or legal professionals Clear written and verbal communication skills, including the ability to translate legal concepts for non-lawyer stakeholders Preferred qualifications 8+ years of legal experience, with substantial time spent on commercial contracts, SaaS agreements, or technology transactions Active membership in the California state bar Experience leading legal teams through high-growth phases at technology companies Experience navigating multi-stakeholder agreements involving technical and policy considerations Curiosity about AI technology and AI policy, and a commitment to responsible AI development A collaborative, low-ego approach to working with colleagues and external partners A "doer" attitude—willingness to roll up your sleeves and pitch in where needed- Comfort in fast-paced environments with shifting priorities, and a willingness to pitch in across what the team needs Role-specific policy: For this role, we expect all staff to be able to work from our San Francisco office at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $385,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote-Friendly, United States; San Francisco, CA | New York City, NY | Washington, DC About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is bringing Claude to the U.S. government and allied democracies, and we’re looking for startup-minded engineers to grow our public sector engineering team. This is a small team with large surface area. You’ll work across the stack to take products from 0 to 1 and beyond. We are looking for product- and civic-minded engineers with a track record of building and scaling great products. The opportunities outpace our ability to build them all, so the right candidate thrives on sharp judgment, prioritization, and focus. You’ll own work like: Building Claude products that can be used by customers in highly regulated environments Deploying Claude into government networks Understanding and improving Claude’s usefulness in common government workflows – for example, policy research, benefits administration, intelligence analysis Scaling and innovating Claude for Government, our existing product serving U.S. government customers today Our team is filling a number of roles and is open to candidates with either full-stack or backend experience. Key responsibilities Architect and ship deployments that meet public sector compliance and security requirements, from FedRAMP to classified networks Build AI applications tailored to government workflows by developing deep understanding of how agencies actually operate Partner with research and safeguards teams to evaluate and improve Claude for government use cases Work directly with government customers and internal go-to-market teams to turn requirements into technical and product roadmaps Design scalable systems for deployment, user management, and administrative controls across constrained environments Create clarity and technical direction in a fast-moving environment with unique constraints Minimum qualifications Experience building AI products and a working intuition for their capabilities and limitations A strong technical track record building and shipping enterprise- or government-grade products Excellent cross-functional collaboration skills — you’ll partner with sales, legal, research, and policy teams alike Preferred qualifications Have 8+ years of experience as a full stack or backend software engineer Startup experience, particularly in scaling products from zero to one Experience partnering with sales, customer success, and professional services teams to drive product adoption Experience deploying software on government networks Active federal security clearance (Secret or above) This position requires verification of U.S. citizenship due to citizenship-based legal restrictions. Specifically, this position supports a United States federal, state, and/or local government agency customer and is subject to certain citizenship-based restrictions where required or permitted by applicable law. To meet this legal requirement, citizenship will be verified via a valid passport, or other approved documents, or verified US government clearance. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Bulgaria WHAT YOU'LL DO As a Deployment Strategist at Wonderful, you are responsible for making AI deployments actually land. Wonderful is the AI operating system for enterprises, helping them close the gap between what AI enables and how they operate today. You lead enterprise customers from early discovery through pilot and production rollout, translating ambitious AI initiatives into clear scopes, executable plans, and measurable outcomes. You sit between the customer, Forward Deployed Engineers, and Product, ensuring everyone is aligned on what is being built, why it matters, and how it will succeed in production. This is a hands-on role for people who enjoy ambiguity, ownership, and seeing complex projects through to the end. - Embed deeply with customers to understand their processes and systems, identify the most important problems to solve, and obsess over helping them win. - Lead discovery with enterprise customers to understand workflows, constraints, and success criteria. - Define scope, success metrics, and integration plans for pilots and rollouts. - Translate customer needs into clear deployment plans for engineering teams. - Coordinate deployments across Product, Engineering, and customer stakeholders. - Track progress, manage risks, and remove blockers throughout the deployment. - Support production launches and ensure solutions are adopted and working as intended. - Monitor deployed agents and drive follow-up improvements based on real usage. - Identify additional use cases and expansion opportunities with customers. You will spend time onsite with customers, working through real constraints, answering difficult questions, and ensuring solutions deliver real value. WHY SHOULD YOU - You’ll be part of what is tipped as the fastest-growing startup in Europe. - Work on a cutting-edge agentic solution, the hottest topic in Enterprise right now. - You’ll join a team of high-agency builders coming from the best tech companies out there. - Never boring - you’ll be solving problems for and with the biggest Enterprises in the world. WHO YOU ARE - Experience in deployment-focused, technical, or execution-oriented roles. - Strong ability to structure ambiguous problems and turn them into concrete plans. - Comfort working with technical concepts such as APIs, MCP, data flows, and system integrations. - Clear communication and strong stakeholder management skills. - High ownership mindset and bias toward action. - Interest in building and deploying AI-powered systems in real environments. NICE TO HAVE - Background in solutions engineering, technical consulting, or forward-deployed roles. - Prior hands-on engineering experience. - Experience supporting production software launches. - Experience working in high-growth or early-stage environments. WHY THIS ROLE EXISTS Enterprises are ready to use AI, but execution is the hard part. This role exists to bridge that gap. You will help customers deploy AI agents that integrate with real systems, respect real constraints, and deliver measurable outcomes. Candidate Privacy Notice https://www.wonderful.ai/careers/candidate_notice

Location: Jinan, China Workplace: remote About Welocalize  Welocalize, a Welo Global brand, serves localization teams through AI-enabled multilingual content solutions that enable enterprises to operate and scale globally. Welocalize combines AI, automation, and human expertise to support enterprises in more than 300 languages, enabling accurate, culturally aligned, and compliant multilingual content at scale.   Welocalize’s Opal Platform comprises patented technology designed to automate multilingual content and improve workflow performance for enterprises. Opal functions as an agentic system that orchestrates AI, automation, and human expertise to coordinate content workflows across the lifecycle, improving speed, scalability, and operational control for global enterprises. These solutions operate within a secure and compliant environment supported by seven ISO certifications. Welocalize is headquartered in New York with offices worldwide. welocalize.com  Job Responsibilities: This role involves managing translation and copy-editing tasks, ensuring high-quality linguistic deliverables for assigned projects or accounts. Responsibilities include coordinating with freelancers and agencies, maintaining language resources, resolving terminology queries, and collaborating with clients and internal teams to enhance workflow efficiency. #LI-JC1 The following is a non-exhaustive list of responsibilities and areas of ownership for this role: Performing copy-edit tasks on assigned projects or accounts Performing on-demand translation tasks Performing lead support on assigned projects or accounts Managing and maintaining the language materials (including glossaries, Style Guides, work instruction) up to the quality standards and up to date as required by the account or project Managing project-related queries Ensuring good interaction among team members and resolving questions on terminology and language matters Testing and qualifying new freelancers and vendors as required Developing and training of internal linguists and external partners according to the accounts’ and Welocalize’s needs Interacting with clients on linguistic matters as required Participating in the development of new and improved working processes Meet or exceed the KPIs in terms of productivity, on time delivery, quality Achieving the goals set by the team manager   Additional Job Details: REQUIREMENTS Education Level  University degree in Translation/Applied Languages/Linguistic Studies or equivalent combination of education and experience (University degree in other fields plus 2 years of full time experience in translation; OR 5 years of full time professional experience in translating) Experience  Native level fluency in Chinese Fluency in English, both written and spoken, in a variety of registers 4+ years of experience in translation/localization/editing or content writing 2+ years of review experience Thorough understanding of the localization process Good user experience of standard software, such as Windows and Office applications Good user experience of standard CAT tools, e.g. XTM, SDL Studio and issue tracking and query management tools, e.g. JIRA Ability to learn new localization tools and applications quickly Excellent interpersonal, written and verbal communication skills Excellent knowledge of terminology used in two or more subject matters Ability to work with tight deadlines Ability to give clear, concise and constructive feedback Ability to effectively present information and respond to questions from groups of managers, clients, customers, linguists Ability to solve practical problems and deal with a variety of concrete variables in situations where only limited standardization exists. Ability to interpret a variety of instructions furnished in written, oral, diagram, or schedule form. Ability and willingness to train/teach others and pass on knowledge Ability, willingness and experience in communicating positively with customers at various levels Ability to work within a virtual team

Location: Japan Workplace: remote About Welocalize  Welocalize, a Welo Global brand, serves localization teams through AI-enabled multilingual content solutions that enable enterprises to operate and scale globally. Welocalize combines AI, automation, and human expertise to support enterprises in more than 300 languages, enabling accurate, culturally aligned, and compliant multilingual content at scale.   Welocalize’s Opal Platform comprises patented technology designed to automate multilingual content and improve workflow performance for enterprises. Opal functions as an agentic system that orchestrates AI, automation, and human expertise to coordinate content workflows across the lifecycle, improving speed, scalability, and operational control for global enterprises. These solutions operate within a secure and compliant environment supported by seven ISO certifications. Welocalize is headquartered in New York with offices worldwide. welocalize.com  Job Responsibilities: This role involves managing translation and copy-editing tasks, ensuring high-quality linguistic deliverables for assigned projects or accounts. Responsibilities include coordinating with freelancers and agencies, maintaining language resources, resolving terminology queries, and collaborating with clients and internal teams to enhance workflow efficiency. The position also supports broader team efforts through editing, error arbitration, and active participation in quality initiatives. Job Reference: #LI-JC1  The following is a non-exhaustive list of responsibilities and areas of ownership for this role: Performing copy-edit tasks on assigned projects or accounts Performing on-demand translation tasks Performing lead linguist role on assigned accounts Taking ownership of deliveries that were translated internally or by external partners for one or more accounts into Japanese language Preparing, managing and maintaining the language materials (including glossaries, Style Guides, work instruction) up to the quality standards and up to date as required by the account or project Managing project-related queries Ensuring good interaction among team members and resolving questions on terminology and language matters Coordinating with freelancers, agencies and internal linguists on assigned projects or accounts Testing and qualifying new freelancers and vendors as required Developing and training of internal linguists/new and existing freelancers according to the accounts’ and Welocalize’s needs Interacting with clients on linguistic matters as required Participating in the development of new and improved working processes. Propose process improvements. Meet or exceed the KPIs in terms of productivity, on time delivery, quality Achieving the goals set by the team manager   Additional Job Details: REQUIREMENTS Education Level  University degree in Translation/Applied Languages/Linguistic Studies or equivalent combination of education and experience (University degree in other fields plus 2 years of full time experience in translation; OR 5 years of full time professional experience in translating)   Experience and Skills  Fluent in English, both written and spoken Native fluency in Japanese language 8+ years of relevant experience in translation/localization/editing or content writing 5+ years of review experience Thorough understanding of the localization process Excellent knowledge of terminology used various subject matters Subject-matter expert within company for assigned content specialities, service lines and processes Excellent user experience of standard CAT tools, e.g. XTM, SDL Studio and issue tracking and query management tools, e.g. JIRA Ability to learn new localization tools and applications quickly Excellent user experience of standard software, such as Windows and Office applications Ability to give clear, concise and constructive feedback Ability to coordinate internal and external translators Excellent interpersonal, written and verbal communication skills Ability and willingness to train/teach others and pass on knowledge. Ability to work with tight deadlines Excellent problem solving skills Ability to effectively present information and respond to questions from groups of managers, clients, linguists Ability, willingness and experience in communicating with customers at various levels Ability to solve practical problems and deal with a variety of concrete variables in situations where only limited standardization exists Ability to work in a virtual team

Location: Dublin, IE; London, UK; New York City, NY; Remote-Friendly, United States About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role We are looking for an Incident Response Manager to serve as the operational backbone of how Anthropic handles incidents. When things go wrong, you are the person who makes sure the right people are in the room, the right information is flowing, and nothing falls through the cracks. The right person for this role brings structure and rigor to high-volume, high-stakes situations without waiting for a playbook to be handed to them. You will work across engineering, product, security, legal, go-to-market, and leadership to ensure Anthropic responds to incidents with speed, clarity, and accountability. This is not a role where you follow existing runbooks; it is a role where you write them, and where you operate effectively even when the runbook does not yet exist. Responsibilities Build the incident response management function, establishing the processes, tooling, and operational standards that define how we handle incidents at scale Serve as an on-call incident commander, driving coordinated response across technical and non-technical stakeholders during incidents of varying severity, including managing multiple active incidents simultaneously Engage the right people at the right time, with a strong sense of urgency, bringing order and direction to fast-moving, ambiguous situations Own incident communications end-to-end, from real-time internal coordination to external channels like status pages, direct customer outreach, and stakeholder updates, ensuring they reflect Anthropic's commitments to safety, transparency, and accuracy Participate in blameless incident reviews, contributing operational context and helping drive follow-through on critical remediations so the same class of incident does not recur Partner with engineering teams to develop and maintain incident response policies, procedures, and escalation frameworks that scale with Anthropic's growth Partner with engineering, product, security, legal, and go-to-market teams to continuously improve how the organization detects, responds to, and learns from incidents You May Be a Good Fit If You Have 5+ years of experience in incident management, with direct experience managing technical product or infrastructure incidents (not exclusively security or trust and safety) Have built or significantly shaped an incident response program, ideally at a high-growth startup or in an environment where you had to create structure rather than inherit it Demonstrate a strong sense of ownership and urgency, with the ability to operate independently and make sound decisions under pressure without waiting for direction Are comfortable working in unprecedented situations where processes are still being defined and guidance may be incomplete or conflicting, leaving things better than you found them Have a track record of effective cross-functional collaboration, particularly with engineering, security, legal, communications, go-to-market, and executive leadership Bring a blameless, learning-oriented mindset to incident reviews, focused on systemic improvement rather than individual fault Have experience with cloud infrastructure incidents and enough technical depth across the stack to engage meaningfully with engineering teams during response, including comfort navigating distributed systems, monitoring tools, and logs Are analytically minded, with experience using data (incident metrics, queries, trend analysis) to inform decisions during response and to drive operational improvements over time Communicate clearly and calmly under pressure, both in real-time coordination and in post-incident written communications Thrive in high-volume, fast-paced environments and are energized by bringing operational discipline to complex, evolving situations The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $290,000 — $365,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic's research organization works across the full model development lifecycle, from pre-training and post-training to alignment, interpretability, and safety, each operating at the frontier of AI development. As a Technical Program Manager for Research, you'll define and build the programs that research teams need most. You'll move across research areas like compute, evals, RL environments, and emerging research initiatives, going deep enough in each to understand how researchers work and what they need. You'll identify where the biggest opportunities for impact lie, find the highest-leverage gaps, and build the programs, processes, and tooling that allow researchers to focus on research. This is a 0-to-1 role: you'll explore new domains as priorities shift, determine what each one needs, and create lasting impact where none existed before. Note: This role may require responding to incidents on short-notice, including on weekends. Responsibilities Embed deeply within a research domain to understand the technical landscape, build trust with researchers and technical leaders, and identify the highest-leverage problems to solve, knowing the surface area will shift over time as research priorities evolve Move fluidly across research areas like compute, evals, RL environments, and emerging research initiatives, picking up new domains quickly and getting to depth fast Drive end-to-end execution of complex, ambiguous research initiatives spanning multiple teams, often without established playbooks or precedent Establish processes and frameworks that bring structure to unstructured research environments without slowing researchers down Lead efforts like large-scale compute resource planning, including allocation, efficiency, and prioritization across research and production workstreams Drive eval readiness for model launches by standardizing results, shaping eval plans early, improving tooling, and ensuring honest, transparent reporting across research, product, and marketing Own execution and operational health of RL environments across major training runs, coordinating cross-team trade-offs and feeding insights back into roadmap planning Equip research leadership to make decisions quickly by going deep on technical tradeoffs and presenting clear, actionable recommendations Act as the connective tissue between research, engineering, and product teams to reduce chaos and accelerate execution You May Be a Good Fit If You Have a background in ML research or engineering with several years of experience building technical programs from scratch, ideally with hands-on exposure to training, evaluation, or large-scale distributed systems Are a fast learner who can ramp on unfamiliar technical domains quickly and contribute meaningfully to discussions with researchers Are resourceful, high-agency, and able to navigate ambiguity and shifting priorities to drive progress in fast-moving research environments Have a track record of operational ownership of complex technical systems, including monitoring, incident response, and performance optimization Can reason about technical tradeoffs at depth across model architecture, training infrastructure, evals, or compute efficiency, and translate them into clear decisions for leadership Have excellent stakeholder management skill and the ability to influence senior technical staff through competence and consistent delivery Are comfortable with high-stakes environments where decisions impact compute spend, model training timelines, and launch outcomes Are passionate about the potential impact of AI and are committed to developing safe and beneficial systems Are excited to redefine what technical program management looks like at the frontier of AI research The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $365,000 — $435,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's production models undergo sophisticated post-training processes to enhance their capabilities, alignment, and safety. Decisions in production training depend on knowing how the model is really behaving. Our team's mission is to have the best observability into production post-training runs at Anthropic: to be the clearest, most trusted view of model quality during training. We shape what gets measured, keep the signal trustworthy and timely, and get to the bottom of surprising results to inform post-training and release decisions. In this role you will lead the science of how we evaluate production training runs. You'll work out which measurements tell us something real about the model, notice when they stop doing so, and find what we should be measuring but aren't. You'll partner with research teams across every RL domain, bringing their priorities into what we measure and setting the standard for what makes an eval trustworthy across post-training. You'll also be hands-on with the eval fleet day to day, because the best questions about measurement come from watching real results come in during a live run. Responsibilities Steer the eval strategy for production Claude models: study and optimize the eval mix so it gives the most accurate and complete assessment of model quality Run and monitor the eval fleet live to understand how each Claude model is developing as it trains Advise teams across post-training on eval methodology, and help eval authors bring new evals up to the bar for production Investigate regressions in production runs and inform training interventions when appropriate Build the dashboards, alerts, and reports that researchers and leadership use to track model quality You may be a good fit if you Have designed, run, and analyzed evaluations for ML models at scale Care deeply about measurement quality, thinking twice before trusting a number Can turn ambiguous results into clear recommendations, and are comfortable influencing direction across teams Have strong Python skills and are comfortable working with production systems Maintain clarity and rigor when debugging complex, time-sensitive issues Thrive in controlled chaos and are energized, rather than overwhelmed, when juggling multiple urgent priorities during a live training run Care about the societal impacts of your work and about shipping frontier models responsibly Strong candidates may also have Hands-on experience post-training large language models Research experience in ML evaluation or benchmarking Background in statistics and experimental design Experience developing robust evaluation metrics for ML systems The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $500,000 — $850,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: London Office; Berlin Office Workplace: Hybrid About The Role Taktile empowers financial institutions to transform into truly AI-native organizations. We’re growing rapidly with enterprise customers across banks and insurance companies, and we’re looking for an Applied AI Engineer. This role will be at the heart of that transformation, building advanced agentic products that solve high-value problems. You will act as a product owner for the AI agents you create, turning them into reusable applications that solve concrete customer problems at scale in the financial crime or credit risk space. If you're passionate about applying AI to real-world financial decisioning, stay current on advances in generative AI, and bring a solid foundation in Python, SQL, and working with APIs, you'll thrive here. What You'll Do as an Sr. Applied AI Engineer - Build Reusable AI Products: Act as the product owner for your application area. Design, develop, and deploy robust, repeatable Generative AI agents that serve as configurable solutions for our customers. - Drive Scalable Value: Partner with Solution and Forward Deployed Engineers during critical sales and implementation projects to deeply understand customer needs. Develop standard templates and reusable components that reduce time-to-activation and solve core challenges. - Product Vision and Iteration: Synthesize customer feedback into a clear vision for your agents. Iterate on your solutions to solve concrete use cases at scale, treating every agent as a product itself. - Collaborate with Core Product: Work closely with the core product team to prioritize platform features that unblock application development, and act as an expert user consultant during the development of new features. About You - You bring 3-6 years of data science, software engineering, consulting, or product management experience that includes customer-facing work or product ownership. - You have a strong technical or quantitative background, preferably in fields such as Computer Science, Mathematics, Software Engineering, Physics, Data Science, or Economics. - You are eager to dive into the domain of our customers, including credit underwriting, financial risk assessment, and financial crime detection. - You write clean, maintainable Python and SQL, and have a good understanding of REST APIs. - You excel at breaking down complex problems and abstracting them into scalable, reusable solutions. - You build strong relationships with both technical and business stakeholders at all levels, driven by a product-centric mindset to understand their needs and solve their challenges at scale. - You are open to a hybrid work model and can work from our London or Berlin office at least three days per week. Ideal Qualifications (but not required) - You have experience in building AI applications within financial services. - You have experience in applying and optimizing statistical and machine learning models to solve business problems. - You have experience with at least one of the major cloud platforms (AWS, Azure, GCP). What We Offer - Work with colleagues that lift you up, challenge you, celebrate you and help you grow. We come from many different backgrounds, but what we have in common is the desire to operate at the very top of our fields. If you are similarly capable, caring, and driven, you'll find yourself at home here. - Make an impact and meaningfully shape an early-stage company. - Experience a truly flat hierarchy and communicate directly with founding team members. Having an opinion and voicing your ideas is not only welcome but encouraged, especially when they challenge the status quo. - Learn from experienced mentors and achieve tremendous personal and professional growth. Get to know and leverage our network of leading tech investors and advisors around the globe. - Receive a top-of-market equity and cash compensation package. - Get access to a self-development budget you can use to e.g. attend conferences, buy books or take classes. - Use the equipment of your choice including meaningful home office set-up. Our Stance - We're eager to meet talented and driven candidates regardless of whether they tick all the boxes. We're looking for someone who will add to our culture, not just fit within it. We strongly encourage individuals from groups traditionally underestimated and underrepresented in tech to apply. - We seek to actively recognize and combat racism, sexism, ableism and ageism. We embrace and support all gender identities and expressions, and celebrate love in its many forms. We won't inquire about how you identify or if you've experienced discrimination, but if you want to tell your story, we are all ears. About Us Taktile enables financial institutions to transform into AI-native organizations that are increasingly powered by autonomous agents. With our modular Agentic Decision Platform, customers combine AI agents, rules, relevant context, and human oversight to safely automate and optimize their decisions—approving more customers, reimbursing claims instantly, stopping fraud before it spreads, and financing every business worth funding. Founded in 2020, Taktile powers millions of decisions daily for institutions including Mercury, Monzo, Faire, and Pleo. With offices in New York, Berlin, London, São Paulo, and Iași, the company has raised $184M from Growth Equity at Goldman Sachs Alternatives, Index Ventures, Tiger Global, Balderton Capital, and Y Combinator. Learn more at taktile.com http://taktile.com. About Your Employment. Taktile operates through regional entities worldwide. Depending on the location of this role, your employment or engagement will be with Taktile LLC (US), Taktile GmbH (Germany), Taktile Ltd (UK), or Taktile SRL (Romania). The applicable entity will be confirmed during the offer process. Your Privacy. Taktile (“we” or “us”) is the controller of the personal data you provide during this application process. We collect and process your name, contact details, resume/CV, work history, education, and any other information you submit or that we obtain from publicly available sources or references. How we use your data: We process your personal data to evaluate your candidacy, communicate with you about the recruitment process, comply with legal obligations (such as right-to-work verification), and, with your consent, to consider you for future opportunities. Legal basis (EU/UK applicants): We rely on (i) pre-contractual steps at your request (GDPR/UK GDPR Art. 6(1)(b)), (ii) legal obligations (Art. 6(1)(c)), and (iii) our legitimate interest in evaluating candidates (Art. 6(1)(f)). Retention: If your application is unsuccessful, we retain your data for 12 months after the recruitment process concludes, unless you consent to longer retention. Successful candidates’ data becomes part of their employment records. Your rights: Depending on your location, you may have the right to access, correct, delete, or restrict the processing of your personal data, to data portability, and to withdraw consent. Automated decision-making: We use automated tools to assist in screening applications. No hiring decision is made solely by automated means without human review. International transfers: Your data may be transferred to and processed in the United States, Germany, the United Kingdom, or Romania. Where required, transfers are protected by Standard Contractual Clauses or other approved mechanisms. By submitting your application, you acknowledge that you have read and understood Taktile’s Applicant Privacy Policy https://taktile.com/applicant-privacy-policy. To exercise your rights or ask questions, contact privacy@taktile.com

Location: New York Office Workplace: Hybrid About The Role Taktile empowers financial institutions to transform into truly AI-native organizations. We’re growing rapidly with enterprise customers across banks and insurance companies, and we’re looking for an Applied AI Engineer. This role will be at the heart of that transformation, building advanced agentic products that solve high-value problems. You will act as a product owner for the AI agents you create, turning them into reusable applications that solve concrete customer problems at scale in the financial crime or credit risk space. If you're passionate about applying AI to real-world financial decisioning, stay current on advances in generative AI, and bring a solid foundation in Python, SQL, and working with APIs, you'll thrive here. What You'll Do as an Sr. Applied AI Engineer - Build Reusable AI Products: Act as the product owner for your application area. Design, develop, and deploy robust, repeatable Generative AI agents that serve as configurable solutions for our customers. - Drive Scalable Value: Partner with Solution and Forward Deployed Engineers during critical sales and implementation projects to deeply understand customer needs. Develop standard templates and reusable components that reduce time-to-activation and solve core challenges. - Product Vision and Iteration: Synthesize customer feedback into a clear vision for your agents. Iterate on your solutions to solve concrete use cases at scale, treating every agent as a product itself. - Collaborate with Core Product: Work closely with the core product team to prioritize platform features that unblock application development, and act as an expert user consultant during the development of new features. About You - You bring 3-6 years of data science, software engineering, consulting, or product management experience that includes customer-facing work or product ownership. - You have a strong technical or quantitative background, preferably in fields such as Computer Science, Mathematics, Software Engineering, Physics, Data Science, or Economics. - You are eager to dive into the domain of our customers, including credit underwriting, financial risk assessment, and financial crime detection. - You write clean, maintainable Python and SQL, and have a good understanding of REST APIs. - You excel at breaking down complex problems and abstracting them into scalable, reusable solutions. - You build strong relationships with both technical and business stakeholders at all levels, driven by a product-centric mindset to understand their needs and solve their challenges at scale. - You are open to a hybrid work model and can work from our NYC office at least three days per week. Ideal Qualifications (but not required) - You have experience in building AI applications within financial services. - You have experience in applying and optimizing statistical and machine learning models to solve business problems. - You have experience with at least one of the major cloud platforms (AWS, Azure, GCP). What We Offer - Work with colleagues that lift you up, challenge you, celebrate you and help you grow. We come from many different backgrounds, but what we have in common is the desire to operate at the very top of our fields. If you are similarly capable, caring, and driven, you'll find yourself at home here. - Make an impact and meaningfully shape an early-stage company. - Experience a truly flat hierarchy and communicate directly with founding team members. Having an opinion and voicing your ideas is not only welcome but encouraged, especially when they challenge the status quo. - Learn from experienced mentors and achieve tremendous personal and professional growth. Get to know and leverage our network of leading tech investors and advisors around the globe. - Receive a top-of-market equity and cash compensation package. - Get access to a self-development budget you can use to e.g. attend conferences, buy books or take classes. - Use the equipment of your choice including meaningful home office set-up. Our Stance - We're eager to meet talented and driven candidates regardless of whether they tick all the boxes. We're looking for someone who will add to our culture, not just fit within it. We strongly encourage individuals from groups traditionally underestimated and underrepresented in tech to apply. - We seek to actively recognize and combat racism, sexism, ableism and ageism. We embrace and support all gender identities and expressions, and celebrate love in its many forms. We won't inquire about how you identify or if you've experienced discrimination, but if you want to tell your story, we are all ears. About Us Taktile enables financial institutions to transform into AI-native organizations that are increasingly powered by autonomous agents. With our modular Agentic Decision Platform, customers combine AI agents, rules, relevant context, and human oversight to safely automate and optimize their decisions—approving more customers, reimbursing claims instantly, stopping fraud before it spreads, and financing every business worth funding. Founded in 2020, Taktile powers millions of decisions daily for institutions including Mercury, Monzo, Faire, and Pleo. With offices in New York, Berlin, London, São Paulo, and Iași, the company has raised $184M from Growth Equity at Goldman Sachs Alternatives, Index Ventures, Tiger Global, Balderton Capital, and Y Combinator. Learn more at taktile.com http://taktile.com. About Your Employment. Taktile operates through regional entities worldwide. Depending on the location of this role, your employment or engagement will be with Taktile LLC (US), Taktile GmbH (Germany), Taktile Ltd (UK), or Taktile SRL (Romania). The applicable entity will be confirmed during the offer process. Your Privacy. Taktile (“we” or “us”) is the controller of the personal data you provide during this application process. We collect and process your name, contact details, resume/CV, work history, education, and any other information you submit or that we obtain from publicly available sources or references. How we use your data: We process your personal data to evaluate your candidacy, communicate with you about the recruitment process, comply with legal obligations (such as right-to-work verification), and, with your consent, to consider you for future opportunities. Legal basis (EU/UK applicants): We rely on (i) pre-contractual steps at your request (GDPR/UK GDPR Art. 6(1)(b)), (ii) legal obligations (Art. 6(1)(c)), and (iii) our legitimate interest in evaluating candidates (Art. 6(1)(f)). Retention: If your application is unsuccessful, we retain your data for 12 months after the recruitment process concludes, unless you consent to longer retention. Successful candidates’ data becomes part of their employment records. Your rights: Depending on your location, you may have the right to access, correct, delete, or restrict the processing of your personal data, to data portability, and to withdraw consent. California residents have additional rights under the CCPA, including the right to know, delete, and correct personal information. Automated decision-making: We use automated tools to assist in screening applications. No hiring decision is made solely by automated means without human review. International transfers: Your data may be transferred to and processed in the United States, Germany, the United Kingdom, or Romania. Where required, transfers are protected by Standard Contractual Clauses or other approved mechanisms.   By submitting your application, you acknowledge that you have read and understood Taktile’s Applicant Privacy Policy https://taktile.com/applicant-privacy-policy. To exercise your rights or ask questions, contact privacy@taktile.com

Location: Europe Workplace: Remote At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires. Founded in 2019, Linear has become the platform of choice for more than 50,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship. Linear is becoming a much broader product than people realize. With agents, mobile workflows, and new modalities, there’s a growing gap between what Linear can do and what people think it can do. This role exists to close that gap. We’re looking for someone who will live inside the product, discover what’s possible, and show the world. That means figuring out the most compelling use cases for Linear’s AI agent, demonstrating real workflows that teams can adopt, and getting those stories out through whatever format works best, whether that’s a tweet, a video, a blog post, or a live demo at a conference. The goal is to help people understand what they can actually do with Linear and make that feel concrete and exciting. Think of it as a product-obsessed marketer who is genuinely technical and knows how to communicate with depth. Location & work mode Linear is a remote-first company, with optional co-working offices in San Francisco, New York, and London. This role is open to candidates based in the US and Europe. You can work from anywhere within those regions. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel. What you’ll do - Deeply understand Linear’s product, especially our AI agent and newer capabilities, and continuously discover productive, real-world use cases that teams would care about - Create content that demonstrates those use cases, whether that’s short-form social, blog posts, video walkthroughs, or live demos. Format follows the story, not the other way around - Build relationships with engineering and product-focused creators and collaborate on content that feels authentic rather than sponsored - Work with our video team to produce technical product content that comes across with genuine depth - Partner with support, sales, and product on developer-facing documentation and educational content - Stay plugged into the conversations happening on X, in newsletters, and at events, and make sure Linear has a voice in the ones that matter What we’re looking for - Someone technical. You get code, understand how software gets built, and can talk about it credibly - Deep product intuition. You’re the kind of person who picks up a tool and immediately starts exploring what’s possible. You think in workflows and use cases rather than features - Comfortable on camera and on stage. You can demo a product, record a walkthrough, or speak at a conference without it feeling forced. - Twitter/X smart. You know how to use the platform, you understand what’s interesting to the people we’re trying to reach, and you can participate in the conversation with credibility - Curious and self-directed. You’re already finding the next interesting thing to talk about on your own, already following the right people and noticing the opportunities - Able to create video content end to end. You should be able to script, record, and edit a product walkthrough or demo without needing to hand it off to someone else What we offer We're a small, focused team that cares deeply about the quality of our work and the people we do it with. Here's what you can expect: - Competitive salary and equity - Employee-friendly equity terms including early exercise in the US and extended exercise windows - Daily meal and coffee stipend on every workday - Paid co-working space or desk - Health coverage (based on country requirements) - 5 weeks paid vacation, plus local statutory holidays - 4 months paid parental leave - Paid month off after 4 years & every 2 years thereafter - Regular team events and off-sites - Remote-first with no required commute Learn how we think and work - A story about our mission: Read Me https://linear.app/readme - Our hiring process: How we hire at Linear https://linear.app/now/how-we-hire-at-linear - How we work: Designing remote work at Linear https://linear.app/now/designing-remote-work-at-linear - Our CEO and co-founder, Karri at 20VC: How to Grow Capital Efficiently in a World of BS Growth https://www.youtube.com/watch?v=4vqDYkuzbSM - Make an Org Chart You Want to Ship — Advice from Linear on How Heirloom Tomatoes Should Inspire Team Design https://review.firstround.com/make-an-org-chart-you-want-to-ship-advice-from-linear-on-how-heirloom-tomatoes-should-inspire-team-design/ - Building our teams: Why and how we do work trials at Linear https://linear.app/blog/why-and-how-we-do-work-trials-at-linear - A video series: Conversations on Quality https://linear.app/quality - Our recent tender offer: Sharing Linear’s growth with the people building it https://linear.app/now/sharing-growth-with-the-people-building-linear A note on recruitment fraud: all official Linear hiring communication comes from an @linear.app http://linear.app email address, and all open roles are listed at linear.app/careers http://linear.app/careers. We never ask candidates for payment or financial information. Suspicious messages can be reported to security@linear.app. Linear is an equal opportunity employer. We do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.